42CrMo steel has the characteristics of high strength,high wear resistance,high impact resistance,and fatigue resistance.Therefore,drilling 42CrMo steel has always been a challenging task.The indexable drill bit has t...42CrMo steel has the characteristics of high strength,high wear resistance,high impact resistance,and fatigue resistance.Therefore,drilling 42CrMo steel has always been a challenging task.The indexable drill bit has the advantages of high processing efficiency and low processing cost and has been widely used in the field of aerospace hole processing.To better understand the machining mechanism of the indexable drill bit,this paper uses the Coupled EulerianLagrangian method(CEL)to simulate the three-dimensional drilling model for the first time.The simulation results of the drilling force obtained by the CEL method and Lagrangian method are compared with the experimental results.It is verified that the CEL method is easy to converge and can avoid the problem of program interruption caused by mesh distortion,and the CEL simulation value is more consistent with the actual value.Secondly,the simulation results of cutting force and blade cutting edge node temperature under different process parameters are extracted.The variation of time domain cutting force,frequency domain cutting force and tool temperature with process parameters are obtained.This study provides a new method for the prediction of cutting performance and the optimization of process parameters of indexable drills.展开更多
In order to meet the technical requirements of grinding the circumferential cutting edge of indexable inserts, thermo-mechanical properties of bowl-shaped grinding wheel in high speed grinding process and the influenc...In order to meet the technical requirements of grinding the circumferential cutting edge of indexable inserts, thermo-mechanical properties of bowl-shaped grinding wheel in high speed grinding process and the influence of dimension variations of the grinding wheel on machining accuracy were investigated. Firstly, the variation trends of the dimension due to centrifugal force generated in different wheel speeds were studied and the effect of stress stiffening and spin softening was presented. Triangular heat flux distribution model was adopted to determine temperature distribution in grinding process. Temperature field cloud pictures were obtained by the finite element software. Then, dimension variation trends of wheel structure were acquired by considering the thermo-mechanical characteristic under combined action of centrifugal force and grinding heat at different speeds. A method of online dynamic monitoring and automatic compensation for dimension error of indexable insert was proposed. By experimental verification, the precision of the inserts satisfies the requirement of processing.展开更多
In order to improve the development efficiency of the indexable insert tip, three-dimensional parametric and visualization applications program of indexable insert tip was developed in AutoCAD VBA （Visual Basic for A...In order to improve the development efficiency of the indexable insert tip, three-dimensional parametric and visualization applications program of indexable insert tip was developed in AutoCAD VBA （Visual Basic for Applications）. The software could significantly improve the modeling efficiency of indexable insert tip and the model could also be used to static analysis, dynamic analysis and thermodynamic analysis. All aspects of performance could be fully understood by the finite element analysis. The ref- erence for the blade parameters preferred is also provided.展开更多
The atom-bond sum-connectivity(ABS)index,put forward by[J.Math.Chem.,2022,60(10):20812093],exhibits a strong link with the acentric factor of octane isomers.The experimental physico-chemical properties of octane isome...The atom-bond sum-connectivity(ABS)index,put forward by[J.Math.Chem.,2022,60(10):20812093],exhibits a strong link with the acentric factor of octane isomers.The experimental physico-chemical properties of octane isomers,such as boiling point,of formation are found to be better measured by the ABS index than by the Randi,atom-bond connectivity(ABC),and sum-connectivity(SC)indices.One important source of information for researching the molecular structure is the bounds for its topological indices.The extrema of the ABS index of the line,total,and Mycielski graphs are calculated in this work.Moreover,the pertinent extremal graphs were illustrated.展开更多
The Gabes aquifer system,located in southeastern Tunisia,is a crucial resource for supporting local socio-economic activities.Due to its dual porosity structure,is particularly vulnerable to pollution.This study aims ...The Gabes aquifer system,located in southeastern Tunisia,is a crucial resource for supporting local socio-economic activities.Due to its dual porosity structure,is particularly vulnerable to pollution.This study aims to develop a hybrid model that combines the Fracture Aquifer Index(FAI)with the conventional GOD(Groundwater occurrence,Overall lithology,Depth to water table)method,to assess groundwater vulnerability in fractured aquifer.To develop the hybrid model,the classical GOD method was integrated with FAI to produce a single composite index.Each parameter within both GOD and FAI was scored,and a final index was calculated to delineate vulnerable areas.The results show that the study area can be classified into four vulnerability levels:Very low,low,moderate,and high,indicating that approximately 8%of the area exhibits very low vulnerability,29%has low vulnerability,25%falls into the moderate category,and 38%is considered highly vulnerable.The FAI-GOD model further incorporates fracture network characteristics.This refinement reduces the classification to three vulnerability classes:Low,medium,and high.The outcomes demonstrate that 46%of the area is highly vulnerable due to a dense concentration of fractures,while 17%represents an intermediate zone characterized by either shallow or deeper fractures.In contrast,37%corresponds to areas with lightly fractured rock,where the impact on vulnerability is minimal.Multivariate statistical analysis was employed using Principal Components Analysis(PCA)and Hierarchical Cluster Analysis(HCA)on 24 samples across six variables.The first three components account for over 76%of the total variance,reinforcing the significance of fracture dynamics in classifying vulnerability levels.The FAI-GOD model removes the very-low-vulnerability class and expands the spatial extent of low-and high-vulnerability zones,reflecting the dominant influence of fracture networks on aquifer sensitivity.While both indices use a five-class system,FAI-GOD redistributes vulnerability by eliminating very-low-vulnerability areas and amplifying low/high categories,highlighting the critical role of fractures.A strong correlation(R2=0.94)between the GOD and FAI-GOD indices,demonstrated through second-order polynomial regression,confirms the robustness of the FAI-GOD model in accurately predicting vulnerability to pollution.This model provides a useful framework for assessing the vulnerability of complex aquifers and serves as a decision-making tool for groundwater managers in similar areas.展开更多
Journal of Iron and Steel Research International,sponsored by China Iron and Steel Research Institute Group,is an academic journal which provides an international medium for publication of original research articles,r...Journal of Iron and Steel Research International,sponsored by China Iron and Steel Research Institute Group,is an academic journal which provides an international medium for publication of original research articles,reviews and letters in the fields of metallurgy and metallic materials.It has been covered by Science Citation Index(SCI)and Engineering Index(EI)since 1996 and 2016,respectively.展开更多
Climate change poses a profound threat to mountain agro-ecosystems,particularly in the Himalayan region of West Bengal,India,by disrupting precipitation patterns,increasing temperature variability,and intensifying ext...Climate change poses a profound threat to mountain agro-ecosystems,particularly in the Himalayan region of West Bengal,India,by disrupting precipitation patterns,increasing temperature variability,and intensifying extreme weather events.Despite growing evidence of climate change impacts,there remains a critical research gap in understanding how socioeconomic factors drive farmers' adaptation strategies to climate change in this vulnerable region.This study examines how farmers in the Himalayan region of West Bengal,India,perceived and responded to the growing impacts of climate change on mountain agro-ecosystems.Drawing on cross-sectional data from 370 farm households selected through multistage sampling,the research employs a combination of analytical tools,including the severity index(SI) to assess farmers' perceptions to climate change,the adaptation index(AI) to evaluate adaptive responses,the Garrett's ranking technique to prioritize constraints,and the ordered logistic regression to identify key socioeconomic drivers of adaptation.Findings reveal a high level of climate awareness among farmers,particularly regarding the increase in weather extremes(SI=74.87%),increase in temperature(SI=72.31%),and irregular rainfall patterns and highly erratic rainfall(SI=62.52%).The most commonly adopted strategies include adopting intercropping and mixed cropping systems(AI=0.613),adoption of the integrated farming system model(AI=0.600),and shift towards non-farm employment(AI=0.608),while the adoption of climate-resilient crop varieties and improved irrigation remains limited.Regression analysis highlights that education(regression coefficient=0.38),average landholding size(regression coefficient=1.21),and access to daily weather forecast information(regression coefficient=1.92) significantly promote adaptive behaviour,whereas age(regression coefficient= –0.09) and gender(regression coefficient= –0.76) are negatively associated.Institutional constraints,particularly unavailability of institutional credit,emerge as primary barriers.The study underscores the urgent need for region-specific,inclusive policy frameworks that enhance climate advisory services,support technology dissemination,and empower marginalized groups in the Himalayan region of West Bengal.By fostering informed,equitable,and resilient agricultural systems,these strategies can significantly strengthen the adaptive capacity of mountain farming communities and contribute to sustainable development under a changing climate.展开更多
Background:Cardiorespiratory fitness(CRF)is a powerful predictor of mortality and chronic disease risk,yet global patterns and determinants of CRF remain poorly defined,particularly in females and underrepresented pop...Background:Cardiorespiratory fitness(CRF)is a powerful predictor of mortality and chronic disease risk,yet global patterns and determinants of CRF remain poorly defined,particularly in females and underrepresented populations.We conducted a systematic review and quantitative synthesis of directly measured peak oxygen uptake(VO_(2peak))internationally and examined its association with human development and gender ine quality.Methods:Studies were eligible if VO_(2peak)was assessed via direct gas analysis during maximal exercise testing,and if the countries had scores for the Human Development Index(HDI)and Gender Inequality Index(GII).Studies were identified through MEDLINE/PubMed,Embase,CINAHL,and Web of Science.Risks of bias were assessed by an adaptation of the Newcastle-Ottawa Scale.Multivariable linear regression models examined associations between VO_(2peak),age,sex,exercise modality,HDI,GII,and study year.Results:Data included 95 studies from 24 countries with HDI and GII scores,comprising 119,435 adults(42%females)with VO_(2peak)assessed via direct gas analysis during maximal exercise testing.The risk of bias was low.VO_(2peak)was positively associated with HDI(β=14.1)and negatively associated with GII(β=-3.6).Slightly stronger associations were observed in females than males(HDI:β=18.9 vs.β=13.9,GII:β=-4.6vs.β=-3.6).Young females in middle-HDI countries had higher VO_(2peak)than those in low-HDI countries(31.2mL/kg/min vs.28.5 mL/kg/min),with limited additional gams in high-HDI contexts.VO_(2peak)decreased with higher gender inequality,with the largest disparities observed in young females between high-and low-GII countries(26.3 mL/kg/min vs.32.8 mL/kg/min).Conclusion:Global variation in CRF is tied to national levels of human development and gender equality.These findings support prioritizing structural and policy-level interventions that address social and gender disparities in physical activity access and health promotion.Studies from countries with lower HDI and information on ethnicity and socioeconomic status will bridge crucial gaps in understanding factors involved in global CRF levels.展开更多
General Information Journal of Chinese Pharmaceutical Sciences(JCPS)is a peer-reviewed bimonthly journal founded in 1992.JCPS has been indexed in the Core Journals of China's science and technology field.At presen...General Information Journal of Chinese Pharmaceutical Sciences(JCPS)is a peer-reviewed bimonthly journal founded in 1992.JCPS has been indexed in the Core Journals of China's science and technology field.At present it has been included by Chemical Abstracts(CA),UIPD,Index of Copurnicus(IC),CABI,SCOPUS,JSTChina,DOAJ,EBSCO,CSTPCD,Chinese Science Citation Database(CSCD),the Chinese National Knowledge Infrastructure(CNKI)and World Journal Clout Index(WJCI)Report.展开更多
Chain graphs are{2K_(2),C_(3),C_(5)}-free graphs.Balaban index and sum-Balaban index are two important topological indices.In this paper,we concentrate on the subclass of bicyclic connected chain graphs,identifying th...Chain graphs are{2K_(2),C_(3),C_(5)}-free graphs.Balaban index and sum-Balaban index are two important topological indices.In this paper,we concentrate on the subclass of bicyclic connected chain graphs,identifying the extremal graphs that exhibit the minimum or maximum Balaban index and sum-Balaban index within this class.Moreover,we provide a systematic ordering of all bicyclic connected chain graphs according to the magnitude of their Balaban index and sum-Balaban index.展开更多
This commentary critically appraises the study by Li et al which pioneered the exploration of the triglyceride-glucose(TyG)index as a prognostic marker in hepatitis B virus-related advanced hepatocellular carcinoma pa...This commentary critically appraises the study by Li et al which pioneered the exploration of the triglyceride-glucose(TyG)index as a prognostic marker in hepatitis B virus-related advanced hepatocellular carcinoma patients undergoing combined camrelizumab and lenvatinib therapy.While we acknowledge the study’s clinical relevance in proposing an easily accessible metabolic biomarker,we delve into the mechanistic plausibility linking insulin resistance to immunotherapy response and angiogenic inhibition.We further critically examine the methodological limitations,including the retrospective design,the populationspecific TyG cut-off value,and unaddressed metabolic confounders.We highlight the imperative for future research to validate its utility across diverse etiologies and treatment settings,and to unravel the underlying immunometabolic pathways.展开更多
Using unscientific agricultural methods can harm human health by increasing harmful nitrate(NO_(3)−)levels in groundwater,as observed in the Yinchuan Plain.This research utilized hydrochemical data,dual isotopic data,...Using unscientific agricultural methods can harm human health by increasing harmful nitrate(NO_(3)−)levels in groundwater,as observed in the Yinchuan Plain.This research utilized hydrochemical data,dual isotopic data,the MixSIAR model,and the uncertainty index(UI90)to detect the potential sources of groundwater NO_(3)−,track NO_(3)−conversion processes,and calculate the apportionment of each groundwater NO_(3)−source in the agricultural lands of the Yinchuan Plain.The results show that soil organic nitrogen accounted for 49.4%,and N-fertilizers contributed 30.4%,making them the two main contributors to NO_(3)-contamination in groundwater.Long-term N-fertilization enhances soil organic nitrogen accumulation,resulting in NO_(3)−leaching into groundwater during irrigation.The highest uncertainty regarding soil organic nitrogen and N-fertilizers may stem from changes in groundwater flow patterns,unbalanced N-fertilization,irrigation,and precipitation.Denitrification is the dominant process,resulting in lower NO_(3)−concentrations in groundwater in most areas.As a result,most groundwater in the Yinchuan Plain is generally safe for human consumption,except the specific areas in Qingtongxia City and Wuzhong City.Flood irrigation can increase the leaching of NO_(3)−into groundwater,and the repeated recharge of groundwater contaminated with high NO_(3)−levels could also be a potential source of NO_(3)−contamination in agricultural areas.This research provides scientific guidance for sustainable groundwater management in the Yinchuan Plain,mitigating the risk of groundwater NO_(3)−pollution.展开更多
AIM:To investigate the causal effect of obesity on cataract risk and explores the potential mediating roles of metabolites using Mendelian randomization(MR).METHODS:Summary-level data from large-scale genome-wide asso...AIM:To investigate the causal effect of obesity on cataract risk and explores the potential mediating roles of metabolites using Mendelian randomization(MR).METHODS:Summary-level data from large-scale genome-wide association studies to examine the relationship between obesity and cataract were utilized.Obesity-related traits,including body mass index(BMI),waist-to-hip ratio(WHR),and waist circumference(WC).A two-sample MR approach was employed to assess the causal effect of obesity on cataract risk,while potential mediators were identified from suitable genome-wide association studies(GWAS)datasets.Additionally,a metabolic pathway analysis was conducted.RESULTS:An increase of 1 standard deviation(SD)in BMI,WHR,and WC was associated with a significantly higher risk of cataract(BMI:odds ratio(OR)1.0017,95%confidence interval(CI):1.0001-1.0032,P=0.0320;WHR:OR 1.0029,95%CI:1.0006-1.0051,P=0.0129;WC:OR 1.0020,95%CI:1.0001-1.0038,P=0.0390].These associations remained robust after adjusting for confounding factors in multivariable MR analysis.Furthermore,a two-step MR analysis identified eight potential metabolic mediators,with one mediator showing a significant causal role in the relationship between obesity and cataract.CONCLUSION:This work highlights the importance of addressing obesity as a modifiable risk factor for cataracts,particularly through metabolic pathways.展开更多
BACKGROUND Timely and accurate evaluation of mental disorders in adolescents using appropriate mental health literacy assessment tools is essential for improving their mental health literacy levels.AIM To develop an e...BACKGROUND Timely and accurate evaluation of mental disorders in adolescents using appropriate mental health literacy assessment tools is essential for improving their mental health literacy levels.AIM To develop an evaluation index system for the mental health literacy of adolescent patients with mental disorders,providing a scientific,comprehensive,and reliable tool for the monitoring and intervention of mental health literacy of such patients.METHODS From December 2022 to June 2023,the evaluation index system for mental health literacy of adolescents with mental disorders was developed through literature reviews,semi-structured interviews,expert letter consultations,and the analytic hierarchy process.Based on this index system,a self-assessment questionnaire was compiled and administered to 305 adolescents with mental disorders to test the reliability and validity of the index system.RESULTS The final evaluation index system for mental health literacy of adolescents with mental disorders included 4 first-level indicators,10 second-level indicators,and 52 third-level indicators.The overall Cronbach’sαcoefficient of the index system was 0.957,with a partial reliability of 0.826 and a content validity index of 0.975.The cumulative variance contribution rate of 10 common factors was 66.491%.The correlation coefficients between each dimension and the total questionnaire ranged from 0.672 to 0.724,while the correlation coefficients in each dimension ranged from 0.389 to 0.705.CONCLUSION The evaluation index system for mental health literacy of adolescents with mental disorders,developed in this study,demonstrated notable reliability and validity,making it a valuable tool for evaluating mental health literacy in this population.展开更多
BACKGROUND Perioperative anesthesia management of obese patients presents significant challenges as traditional total body weight-based dosing fails to achieve optimal anesthetic effects due to altered pharmacokinetic...BACKGROUND Perioperative anesthesia management of obese patients presents significant challenges as traditional total body weight-based dosing fails to achieve optimal anesthetic effects due to altered pharmacokinetic characteristics including abnormal drug distribution and clearance.Rocuronium exhibits markedly different distribution patterns in obese patients,with conventional weight correction methods inadequately addressing individual muscle mass variations that critically influence drug distribution.AIM To investigate the quantitative relationship between skeletal muscle index(SMI)and rocuronium distribution volume in obese colorectal cancer patients,establish a population pharmacokinetic model,and develop individualized dosing strategies based on muscle mass.METHODS A retrospective cohort study was conducted,including 100 obese patients(body mass index≥30 kg/m^(2))who underwent elective radical colorectal cancer surgery at our hospital from June 2023 to January 2025.Skeletal muscle mass was measured using InBody 260 body composition analyzer and SMI was calculated to assess muscle mass,with male SMI<7.0 kg/m^(2) and female SMI<5.7 kg/m^(2)as diagnostic criteria for sarcopenia.Plasma rocuronium concentrations were detected by liquid chromatography-tandem mass spectrometry/mass spectrometry,and nonlinear mixed-effect modeling was used to establish population pharmacokinetic modeling.Stepwise regression was used to screen covariates,and dosing regimens were optimized through Monte Carlo simulation.The primary endpoint was targeted plasma concentration achievement rate,and the secondary endpoint was postoperative residual muscle relaxation incidence.RESULTS Among 100 patients,35(35.0%)had sarcopenia and 65(65.0%)did not.Patients in the sarcopenia group were older(64.1±9.8 years vs 54.2±10.9 years,P<0.001)and had significantly lower SMI(6.2±0.8 kg/m^(2)vs 8.4±1.2 kg/m^(2),P<0.001).SMI showed strong positive correlation with rocuronium steady-state distribution volume(r=0.718,P<0.001)and moderate negative correlation with clearance(r=-0.502,P<0.001).A two-compartment population pharmacokinetic model was successfully established,with SMI being the most important covariate affecting central compartment distribution volume(△OFV=-41.2,P<0.001).Model validation showed bootstrap successful convergence rate of 92.3%,and 92.1%of observed values fell within prediction intervals in predicted concentration versus predicted concentration.The SMI-based individualized dosing regimen improved target exposure achievement rate from 82.0%in traditional regimen to 93.5%(P=0.009),and reduced postoperative residual muscle relaxation incidence from 13.0%to 3.5%(P=0.018).The sarcopenia group showed the most significant improvement in achievement rate,from 71.4%to 93.8%(P=0.017).CONCLUSION SMI shows strong correlation with rocuronium distribution volume in obese colorectal cancer patients and is a key factor affecting drug distribution.SMI-based individualized dosing strategies can significantly improve target exposure achievement rate and reduce postoperative residual muscle relaxation incidence,providing scientific evidence for precision anesthesia management in obese patients.展开更多
The Phewa watershed is under constant landslide threat because of its complicated topography,climate,and biology.The floral structure of landslide-prone areas possesses a significant impact on determining the ecologic...The Phewa watershed is under constant landslide threat because of its complicated topography,climate,and biology.The floral structure of landslide-prone areas possesses a significant impact on determining the ecological processes involved in slope stabilization.Plant roots,for example,serve as physical anchors in the soil,enhancing slope stability.Therefore,this study aims to determine appropriate plant species that can enhance soil stability in Phewa Watershed by examining their floral structure in landslide areas.Floral diversity was assessed throughout field visits.Ten of the 46 landslides were selected with 15 plots based on aspect,watershed zones,and normalized difference vegetation index(NDVI)value.Six plant species were selected to evaluate root traits,uprooting force,and cellulosic testing based on their Important Value Index(IVI)value,native characteristics,and regeneration.The uprooting force was calculated using a‘winch’with a force transducer,while the root characteristics were measured manually and using‘ImageJ software’.Results show that 319 species from 92 families are registered in the buffer zones and landslide scars,and the NDVI suggest that vegetation covers more than 49%of the landslide areas.The floral composition of the landslides in the 15 plots contains 140 species from 52 families,with Poaceae dominating.In six plant species,the Ochiai index suggests a significant level of association.The uprooting force is correlated to the root diameter and number but is insignificant in terms of root length and area.Saccharum spontaneum is the best option for landslide stability based on uprooting force(882.63±245.175)N,cellulose content(67.038±4.766)%and root number characteristic(69.333±24.338)whereas Themeda arundinacea is preferred due to its root diameter traits(0.054±0.022)cm.Finally,it emphasizes the significance of selecting key species in lowering the risk of landslides,strengthening soil stability,and building resilient ecosystems in susceptible watershed areas.展开更多
基金supported by the Natural Science Foundation of Heilongjiang Province(No.TD2022E003)the National Natural Science Foundation of China(No.52175393)。
文摘42CrMo steel has the characteristics of high strength,high wear resistance,high impact resistance,and fatigue resistance.Therefore,drilling 42CrMo steel has always been a challenging task.The indexable drill bit has the advantages of high processing efficiency and low processing cost and has been widely used in the field of aerospace hole processing.To better understand the machining mechanism of the indexable drill bit,this paper uses the Coupled EulerianLagrangian method(CEL)to simulate the three-dimensional drilling model for the first time.The simulation results of the drilling force obtained by the CEL method and Lagrangian method are compared with the experimental results.It is verified that the CEL method is easy to converge and can avoid the problem of program interruption caused by mesh distortion,and the CEL simulation value is more consistent with the actual value.Secondly,the simulation results of cutting force and blade cutting edge node temperature under different process parameters are extracted.The variation of time domain cutting force,frequency domain cutting force and tool temperature with process parameters are obtained.This study provides a new method for the prediction of cutting performance and the optimization of process parameters of indexable drills.
基金Project(2010ZX04001-162)supported by the National Science and Technology Major Project of China
文摘In order to meet the technical requirements of grinding the circumferential cutting edge of indexable inserts, thermo-mechanical properties of bowl-shaped grinding wheel in high speed grinding process and the influence of dimension variations of the grinding wheel on machining accuracy were investigated. Firstly, the variation trends of the dimension due to centrifugal force generated in different wheel speeds were studied and the effect of stress stiffening and spin softening was presented. Triangular heat flux distribution model was adopted to determine temperature distribution in grinding process. Temperature field cloud pictures were obtained by the finite element software. Then, dimension variation trends of wheel structure were acquired by considering the thermo-mechanical characteristic under combined action of centrifugal force and grinding heat at different speeds. A method of online dynamic monitoring and automatic compensation for dimension error of indexable insert was proposed. By experimental verification, the precision of the inserts satisfies the requirement of processing.
基金Supported by Program for Liaoning Scientific Research Project in University(No.LS2010073)
文摘In order to improve the development efficiency of the indexable insert tip, three-dimensional parametric and visualization applications program of indexable insert tip was developed in AutoCAD VBA （Visual Basic for Applications）. The software could significantly improve the modeling efficiency of indexable insert tip and the model could also be used to static analysis, dynamic analysis and thermodynamic analysis. All aspects of performance could be fully understood by the finite element analysis. The ref- erence for the blade parameters preferred is also provided.
基金Supported by Ningbo NSF(No.2021J234)Zhejiang Provincial Philosophy and Social Sciences Planning Project(No.24NDJC057YB)。
文摘The atom-bond sum-connectivity(ABS)index,put forward by[J.Math.Chem.,2022,60(10):20812093],exhibits a strong link with the acentric factor of octane isomers.The experimental physico-chemical properties of octane isomers,such as boiling point,of formation are found to be better measured by the ABS index than by the Randi,atom-bond connectivity(ABC),and sum-connectivity(SC)indices.One important source of information for researching the molecular structure is the bounds for its topological indices.The extrema of the ABS index of the line,total,and Mycielski graphs are calculated in this work.Moreover,the pertinent extremal graphs were illustrated.
文摘The Gabes aquifer system,located in southeastern Tunisia,is a crucial resource for supporting local socio-economic activities.Due to its dual porosity structure,is particularly vulnerable to pollution.This study aims to develop a hybrid model that combines the Fracture Aquifer Index(FAI)with the conventional GOD(Groundwater occurrence,Overall lithology,Depth to water table)method,to assess groundwater vulnerability in fractured aquifer.To develop the hybrid model,the classical GOD method was integrated with FAI to produce a single composite index.Each parameter within both GOD and FAI was scored,and a final index was calculated to delineate vulnerable areas.The results show that the study area can be classified into four vulnerability levels:Very low,low,moderate,and high,indicating that approximately 8%of the area exhibits very low vulnerability,29%has low vulnerability,25%falls into the moderate category,and 38%is considered highly vulnerable.The FAI-GOD model further incorporates fracture network characteristics.This refinement reduces the classification to three vulnerability classes:Low,medium,and high.The outcomes demonstrate that 46%of the area is highly vulnerable due to a dense concentration of fractures,while 17%represents an intermediate zone characterized by either shallow or deeper fractures.In contrast,37%corresponds to areas with lightly fractured rock,where the impact on vulnerability is minimal.Multivariate statistical analysis was employed using Principal Components Analysis(PCA)and Hierarchical Cluster Analysis(HCA)on 24 samples across six variables.The first three components account for over 76%of the total variance,reinforcing the significance of fracture dynamics in classifying vulnerability levels.The FAI-GOD model removes the very-low-vulnerability class and expands the spatial extent of low-and high-vulnerability zones,reflecting the dominant influence of fracture networks on aquifer sensitivity.While both indices use a five-class system,FAI-GOD redistributes vulnerability by eliminating very-low-vulnerability areas and amplifying low/high categories,highlighting the critical role of fractures.A strong correlation(R2=0.94)between the GOD and FAI-GOD indices,demonstrated through second-order polynomial regression,confirms the robustness of the FAI-GOD model in accurately predicting vulnerability to pollution.This model provides a useful framework for assessing the vulnerability of complex aquifers and serves as a decision-making tool for groundwater managers in similar areas.
文摘Journal of Iron and Steel Research International,sponsored by China Iron and Steel Research Institute Group,is an academic journal which provides an international medium for publication of original research articles,reviews and letters in the fields of metallurgy and metallic materials.It has been covered by Science Citation Index(SCI)and Engineering Index(EI)since 1996 and 2016,respectively.
文摘Climate change poses a profound threat to mountain agro-ecosystems,particularly in the Himalayan region of West Bengal,India,by disrupting precipitation patterns,increasing temperature variability,and intensifying extreme weather events.Despite growing evidence of climate change impacts,there remains a critical research gap in understanding how socioeconomic factors drive farmers' adaptation strategies to climate change in this vulnerable region.This study examines how farmers in the Himalayan region of West Bengal,India,perceived and responded to the growing impacts of climate change on mountain agro-ecosystems.Drawing on cross-sectional data from 370 farm households selected through multistage sampling,the research employs a combination of analytical tools,including the severity index(SI) to assess farmers' perceptions to climate change,the adaptation index(AI) to evaluate adaptive responses,the Garrett's ranking technique to prioritize constraints,and the ordered logistic regression to identify key socioeconomic drivers of adaptation.Findings reveal a high level of climate awareness among farmers,particularly regarding the increase in weather extremes(SI=74.87%),increase in temperature(SI=72.31%),and irregular rainfall patterns and highly erratic rainfall(SI=62.52%).The most commonly adopted strategies include adopting intercropping and mixed cropping systems(AI=0.613),adoption of the integrated farming system model(AI=0.600),and shift towards non-farm employment(AI=0.608),while the adoption of climate-resilient crop varieties and improved irrigation remains limited.Regression analysis highlights that education(regression coefficient=0.38),average landholding size(regression coefficient=1.21),and access to daily weather forecast information(regression coefficient=1.92) significantly promote adaptive behaviour,whereas age(regression coefficient= –0.09) and gender(regression coefficient= –0.76) are negatively associated.Institutional constraints,particularly unavailability of institutional credit,emerge as primary barriers.The study underscores the urgent need for region-specific,inclusive policy frameworks that enhance climate advisory services,support technology dissemination,and empower marginalized groups in the Himalayan region of West Bengal.By fostering informed,equitable,and resilient agricultural systems,these strategies can significantly strengthen the adaptive capacity of mountain farming communities and contribute to sustainable development under a changing climate.
基金NJP holds a Future Leader Award from the Novo Nordisk Foundation and European Foundation for the Study of Diabetes(NNF/EFSD NNF21SA0072747)a grant from the Diabetes Wellness Network Sverige(PG21-6524)+5 种基金supported by the Swedish Research Council(2015-00165)the European Research Council(ERC-2023-Ad G 101142093)a Wallenberg Scholars Award from the Knut and Alice Wallenberg Foundation(KAW 2023.0312)the Swedish Research Council for Sport Science(P2023-0093)The Novo Nordisk Foundation Center for Basic Metabolic Research is an independent research center at the Faculty of Health and Medical Sciences,University of Copenhagen,Denmark partially funded by an unrestricted donation from the Novo Nordisk Foundation(NNF18CC0034900,NNF23SA0084103)supported by a postdoctoral fellowship from the Strategic Research Program in Diabetes at Karolinska Institutet。
文摘Background:Cardiorespiratory fitness(CRF)is a powerful predictor of mortality and chronic disease risk,yet global patterns and determinants of CRF remain poorly defined,particularly in females and underrepresented populations.We conducted a systematic review and quantitative synthesis of directly measured peak oxygen uptake(VO_(2peak))internationally and examined its association with human development and gender ine quality.Methods:Studies were eligible if VO_(2peak)was assessed via direct gas analysis during maximal exercise testing,and if the countries had scores for the Human Development Index(HDI)and Gender Inequality Index(GII).Studies were identified through MEDLINE/PubMed,Embase,CINAHL,and Web of Science.Risks of bias were assessed by an adaptation of the Newcastle-Ottawa Scale.Multivariable linear regression models examined associations between VO_(2peak),age,sex,exercise modality,HDI,GII,and study year.Results:Data included 95 studies from 24 countries with HDI and GII scores,comprising 119,435 adults(42%females)with VO_(2peak)assessed via direct gas analysis during maximal exercise testing.The risk of bias was low.VO_(2peak)was positively associated with HDI(β=14.1)and negatively associated with GII(β=-3.6).Slightly stronger associations were observed in females than males(HDI:β=18.9 vs.β=13.9,GII:β=-4.6vs.β=-3.6).Young females in middle-HDI countries had higher VO_(2peak)than those in low-HDI countries(31.2mL/kg/min vs.28.5 mL/kg/min),with limited additional gams in high-HDI contexts.VO_(2peak)decreased with higher gender inequality,with the largest disparities observed in young females between high-and low-GII countries(26.3 mL/kg/min vs.32.8 mL/kg/min).Conclusion:Global variation in CRF is tied to national levels of human development and gender equality.These findings support prioritizing structural and policy-level interventions that address social and gender disparities in physical activity access and health promotion.Studies from countries with lower HDI and information on ethnicity and socioeconomic status will bridge crucial gaps in understanding factors involved in global CRF levels.
文摘General Information Journal of Chinese Pharmaceutical Sciences(JCPS)is a peer-reviewed bimonthly journal founded in 1992.JCPS has been indexed in the Core Journals of China's science and technology field.At present it has been included by Chemical Abstracts(CA),UIPD,Index of Copurnicus(IC),CABI,SCOPUS,JSTChina,DOAJ,EBSCO,CSTPCD,Chinese Science Citation Database(CSCD),the Chinese National Knowledge Infrastructure(CNKI)and World Journal Clout Index(WJCI)Report.
文摘Chain graphs are{2K_(2),C_(3),C_(5)}-free graphs.Balaban index and sum-Balaban index are two important topological indices.In this paper,we concentrate on the subclass of bicyclic connected chain graphs,identifying the extremal graphs that exhibit the minimum or maximum Balaban index and sum-Balaban index within this class.Moreover,we provide a systematic ordering of all bicyclic connected chain graphs according to the magnitude of their Balaban index and sum-Balaban index.
文摘This commentary critically appraises the study by Li et al which pioneered the exploration of the triglyceride-glucose(TyG)index as a prognostic marker in hepatitis B virus-related advanced hepatocellular carcinoma patients undergoing combined camrelizumab and lenvatinib therapy.While we acknowledge the study’s clinical relevance in proposing an easily accessible metabolic biomarker,we delve into the mechanistic plausibility linking insulin resistance to immunotherapy response and angiogenic inhibition.We further critically examine the methodological limitations,including the retrospective design,the populationspecific TyG cut-off value,and unaddressed metabolic confounders.We highlight the imperative for future research to validate its utility across diverse etiologies and treatment settings,and to unravel the underlying immunometabolic pathways.
基金supported by the National Natural Science Foundation of China(Nos.42472316,42072286 and 41761144059)the National Key Research and Development Program of China(No.2023YFC3706901)Qinchuangyuan"Scientist+Engineer"Team Development Program of the Shaanxi Provincial Department of Science and Technology(No.2022KXJ-005).
文摘Using unscientific agricultural methods can harm human health by increasing harmful nitrate(NO_(3)−)levels in groundwater,as observed in the Yinchuan Plain.This research utilized hydrochemical data,dual isotopic data,the MixSIAR model,and the uncertainty index(UI90)to detect the potential sources of groundwater NO_(3)−,track NO_(3)−conversion processes,and calculate the apportionment of each groundwater NO_(3)−source in the agricultural lands of the Yinchuan Plain.The results show that soil organic nitrogen accounted for 49.4%,and N-fertilizers contributed 30.4%,making them the two main contributors to NO_(3)-contamination in groundwater.Long-term N-fertilization enhances soil organic nitrogen accumulation,resulting in NO_(3)−leaching into groundwater during irrigation.The highest uncertainty regarding soil organic nitrogen and N-fertilizers may stem from changes in groundwater flow patterns,unbalanced N-fertilization,irrigation,and precipitation.Denitrification is the dominant process,resulting in lower NO_(3)−concentrations in groundwater in most areas.As a result,most groundwater in the Yinchuan Plain is generally safe for human consumption,except the specific areas in Qingtongxia City and Wuzhong City.Flood irrigation can increase the leaching of NO_(3)−into groundwater,and the repeated recharge of groundwater contaminated with high NO_(3)−levels could also be a potential source of NO_(3)−contamination in agricultural areas.This research provides scientific guidance for sustainable groundwater management in the Yinchuan Plain,mitigating the risk of groundwater NO_(3)−pollution.
基金Supported by the National Natural Science Foundation of China(No.82501261)Medical Research Projects of the Jiangsu Provincial Health Commission(No.M2024041).
文摘AIM:To investigate the causal effect of obesity on cataract risk and explores the potential mediating roles of metabolites using Mendelian randomization(MR).METHODS:Summary-level data from large-scale genome-wide association studies to examine the relationship between obesity and cataract were utilized.Obesity-related traits,including body mass index(BMI),waist-to-hip ratio(WHR),and waist circumference(WC).A two-sample MR approach was employed to assess the causal effect of obesity on cataract risk,while potential mediators were identified from suitable genome-wide association studies(GWAS)datasets.Additionally,a metabolic pathway analysis was conducted.RESULTS:An increase of 1 standard deviation(SD)in BMI,WHR,and WC was associated with a significantly higher risk of cataract(BMI:odds ratio(OR)1.0017,95%confidence interval(CI):1.0001-1.0032,P=0.0320;WHR:OR 1.0029,95%CI:1.0006-1.0051,P=0.0129;WC:OR 1.0020,95%CI:1.0001-1.0038,P=0.0390].These associations remained robust after adjusting for confounding factors in multivariable MR analysis.Furthermore,a two-step MR analysis identified eight potential metabolic mediators,with one mediator showing a significant causal role in the relationship between obesity and cataract.CONCLUSION:This work highlights the importance of addressing obesity as a modifiable risk factor for cataracts,particularly through metabolic pathways.
基金Supported by Inter Disciplinary Direction Cultivation Project of Hunan University of Chinese Medicine,No.2025JC01032025 Hunan Province Science and Technology Innovation Plan Project,No.2025RC9012+2 种基金2022"Unveiling and Leading"Project of Discipline Construction at Hunan University of Chinese Medicine,No.22JBZ044Changsha Municipal Natural Science Foundation,No.kq2402174Hunan Provincial Science Popularization Fund Project,No.2025ZK4223.
文摘BACKGROUND Timely and accurate evaluation of mental disorders in adolescents using appropriate mental health literacy assessment tools is essential for improving their mental health literacy levels.AIM To develop an evaluation index system for the mental health literacy of adolescent patients with mental disorders,providing a scientific,comprehensive,and reliable tool for the monitoring and intervention of mental health literacy of such patients.METHODS From December 2022 to June 2023,the evaluation index system for mental health literacy of adolescents with mental disorders was developed through literature reviews,semi-structured interviews,expert letter consultations,and the analytic hierarchy process.Based on this index system,a self-assessment questionnaire was compiled and administered to 305 adolescents with mental disorders to test the reliability and validity of the index system.RESULTS The final evaluation index system for mental health literacy of adolescents with mental disorders included 4 first-level indicators,10 second-level indicators,and 52 third-level indicators.The overall Cronbach’sαcoefficient of the index system was 0.957,with a partial reliability of 0.826 and a content validity index of 0.975.The cumulative variance contribution rate of 10 common factors was 66.491%.The correlation coefficients between each dimension and the total questionnaire ranged from 0.672 to 0.724,while the correlation coefficients in each dimension ranged from 0.389 to 0.705.CONCLUSION The evaluation index system for mental health literacy of adolescents with mental disorders,developed in this study,demonstrated notable reliability and validity,making it a valuable tool for evaluating mental health literacy in this population.
文摘BACKGROUND Perioperative anesthesia management of obese patients presents significant challenges as traditional total body weight-based dosing fails to achieve optimal anesthetic effects due to altered pharmacokinetic characteristics including abnormal drug distribution and clearance.Rocuronium exhibits markedly different distribution patterns in obese patients,with conventional weight correction methods inadequately addressing individual muscle mass variations that critically influence drug distribution.AIM To investigate the quantitative relationship between skeletal muscle index(SMI)and rocuronium distribution volume in obese colorectal cancer patients,establish a population pharmacokinetic model,and develop individualized dosing strategies based on muscle mass.METHODS A retrospective cohort study was conducted,including 100 obese patients(body mass index≥30 kg/m^(2))who underwent elective radical colorectal cancer surgery at our hospital from June 2023 to January 2025.Skeletal muscle mass was measured using InBody 260 body composition analyzer and SMI was calculated to assess muscle mass,with male SMI<7.0 kg/m^(2) and female SMI<5.7 kg/m^(2)as diagnostic criteria for sarcopenia.Plasma rocuronium concentrations were detected by liquid chromatography-tandem mass spectrometry/mass spectrometry,and nonlinear mixed-effect modeling was used to establish population pharmacokinetic modeling.Stepwise regression was used to screen covariates,and dosing regimens were optimized through Monte Carlo simulation.The primary endpoint was targeted plasma concentration achievement rate,and the secondary endpoint was postoperative residual muscle relaxation incidence.RESULTS Among 100 patients,35(35.0%)had sarcopenia and 65(65.0%)did not.Patients in the sarcopenia group were older(64.1±9.8 years vs 54.2±10.9 years,P<0.001)and had significantly lower SMI(6.2±0.8 kg/m^(2)vs 8.4±1.2 kg/m^(2),P<0.001).SMI showed strong positive correlation with rocuronium steady-state distribution volume(r=0.718,P<0.001)and moderate negative correlation with clearance(r=-0.502,P<0.001).A two-compartment population pharmacokinetic model was successfully established,with SMI being the most important covariate affecting central compartment distribution volume(△OFV=-41.2,P<0.001).Model validation showed bootstrap successful convergence rate of 92.3%,and 92.1%of observed values fell within prediction intervals in predicted concentration versus predicted concentration.The SMI-based individualized dosing regimen improved target exposure achievement rate from 82.0%in traditional regimen to 93.5%(P=0.009),and reduced postoperative residual muscle relaxation incidence from 13.0%to 3.5%(P=0.018).The sarcopenia group showed the most significant improvement in achievement rate,from 71.4%to 93.8%(P=0.017).CONCLUSION SMI shows strong correlation with rocuronium distribution volume in obese colorectal cancer patients and is a key factor affecting drug distribution.SMI-based individualized dosing strategies can significantly improve target exposure achievement rate and reduce postoperative residual muscle relaxation incidence,providing scientific evidence for precision anesthesia management in obese patients.
文摘The Phewa watershed is under constant landslide threat because of its complicated topography,climate,and biology.The floral structure of landslide-prone areas possesses a significant impact on determining the ecological processes involved in slope stabilization.Plant roots,for example,serve as physical anchors in the soil,enhancing slope stability.Therefore,this study aims to determine appropriate plant species that can enhance soil stability in Phewa Watershed by examining their floral structure in landslide areas.Floral diversity was assessed throughout field visits.Ten of the 46 landslides were selected with 15 plots based on aspect,watershed zones,and normalized difference vegetation index(NDVI)value.Six plant species were selected to evaluate root traits,uprooting force,and cellulosic testing based on their Important Value Index(IVI)value,native characteristics,and regeneration.The uprooting force was calculated using a‘winch’with a force transducer,while the root characteristics were measured manually and using‘ImageJ software’.Results show that 319 species from 92 families are registered in the buffer zones and landslide scars,and the NDVI suggest that vegetation covers more than 49%of the landslide areas.The floral composition of the landslides in the 15 plots contains 140 species from 52 families,with Poaceae dominating.In six plant species,the Ochiai index suggests a significant level of association.The uprooting force is correlated to the root diameter and number but is insignificant in terms of root length and area.Saccharum spontaneum is the best option for landslide stability based on uprooting force(882.63±245.175)N,cellulose content(67.038±4.766)%and root number characteristic(69.333±24.338)whereas Themeda arundinacea is preferred due to its root diameter traits(0.054±0.022)cm.Finally,it emphasizes the significance of selecting key species in lowering the risk of landslides,strengthening soil stability,and building resilient ecosystems in susceptible watershed areas.
